arXiv Machine Learning June 18, 2026 By David Bertram, Anja Ophey, Sinah R\"ottgen, Konstantin Kufer, Gereon R. Fink, Elke Kalbe, Clint Hansen, Walter Maetzler, Maximilian Kapsecker, Lara M. Reimer, Stephan Jonas, Andreas T. Damgaard, Natasha B. Bertelsen, Casper Skjaerbaek, Per Borghammer, Karolien Groenewald, Pietro-Luca Ratti, Michele T. Hu, No\'emie Moreau, Michael Sommerauer, Katarzyna Bozek

ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy

Read the original on arXiv Machine Learning →

arXiv:2511. 05221v3 Announce Type: replace Abstract: Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of $\alpha$-synucleinopathies, often preceding the clinical onset of Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI

Jun 2

A Foundation Model for Wearable Movement Data in Mental Health Research

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arXiv Machine Learning

5d ago

Foundation models for movement data: Are they ready for prime-time?

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arXiv AI

Jul 7

OSF: On Pre-training and Scaling of Sleep Foundation Models

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arXiv Machine Learning

Aug 11

Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic Interpretability

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arXiv AI

Aug 6

SleepVLM: A Rule-Grounded Vision-Language Model for Auditable Sleep Staging

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arXiv AI

5d ago

Personalized Scorer Modeling: A Learning-Based Framework for Deriving Robust Sleep Stage Labels from Multiple Experts

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By Seyyed Ali Hoseini, Javad Baseri, Hamid Saadatfar, Edris Hoseini Gol, AmirHossein Eshghi

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